Oracle International Corporation

Harshit Kumar Kalley

Akshay Shah

Srikanth Vavilapalli

Naren Shivashankar Vasanad

Alex Jun-Chern Chen

Bruno Alvisio

Debjani Saha

Yafeng Wang

Techniques discussed herein relate to implementing a distributed computing cluster (the 'cluster') including a plurality of edge devices (e.g., devices individually configured to selectively execute within an isolated computing environment). Each of the edge devices of the cluster may be configured with a respective control plane computing component. A subset of the edge devices may be selected to operate in a distributed control plane of the computing cluster. Any suitable combination of the subset selected to operate in the distributed control plane can instruct remaining edge devices of the distributed computing cluster to disable at least a portion of their respective control planes. Using these techniques, the cluster's distributed control plane can be configured and modified to scale as the cluster grows. The edge devices of the control plane may selectively connect to a centralized cloud, alleviating the remaining edge devices from needless and costly connections.

Multi-tier deployment architecture for distributed edge devices

The present disclosure relates to a framework that provides execution of serverless functions in a cloud environment based on occurrence of events/notifications from services in an entirely different cloud environment. A target agent obtains a notification from a source agent, where the target agent is deployed in a target cloud environment and the source agent is deployed in a source cloud environment that is different than the target cloud environment. The target agent determines a function that is to be invoked based on the notification. Upon successfully verifying whether the target agent is permitted to invoke the function that is deployed in a target customer tenancy of the target cloud environment, the target agent invokes the function in the target customer tenancy of the target cloud environment.

Remote cloud function invocation service

Systems, methods, and other embodiments associated with performing maintenance of a hardware node and relocating (live migrating) virtual machine (VM) instances in a multi-tenant, hyper scale, public Cloud service are described. In one embodiment, the method includes finding a suitable hardware node for hosting one or more VM instances from a hardware node selected for maintenance, preparing it for hosting VMs, and moving (live migrating) all virtual machines from the hardware node to the hosting hardware node.

System and method for relocating customer virtual machine instances in a multi-tenant cloud service

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Sunnyvale, CA, United States of America

Harshit Kumar Kalley